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Python 3
Building and Training the Artificial Neural Network (ANN)

Building and Training the Artificial Neural Network (ANN)

Building and Training the Artificial Neural Network (ANN)
Importing Required Libraries

Building and Training the Artificial Neural Network (ANN)

In this module, we will implement the first image classification model using an Artificial Neural Network (ANN). The ANN acts as a baseline model, helping us understand how a simple neural network performs on image data. Later, its performance will be compared with a Convolutional Neural Network (CNN).

The implementation includes loading the dataset, preprocessing the images, building the ANN architecture, training the model, and evaluating its performance.

Importing Required Libraries

The first step is to import the libraries required for this project.

Code

import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
import numpy as np

Explanation

TensorFlow is used to build and train deep learning models.
Keras provides APIs for creating neural networks.
Matplotlib is used for displaying images and graphs.
NumPy is used for numerical operations.

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Building and Training the Artificial Neural Network (ANN)

Contents

Building and Training the Artificial Neural Network (ANN)

Importing Required Libraries

Code

Explanation

Building an Image Classification System Using CNN

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